ArticleBioinformatics (Oxford, England)2025
argNorm: normalization of antibiotic resistance gene annotations to the Antibiotic Resistance Ontology (ARO).
Article in Bioinformatics (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- A review of computational approaches for metagenomics by long-read sequencing.Science China. Life sciences · 2026Review
- Article
- Antimicrobial resistance databases: opportunities and challenges for public health.npj antimicrobials and resistance · 2026Review
- Applications of Genome Sequencing in Infectious Diseases: From Pathogen Identification to Precision Medicine.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Article
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Authors and funding
6 authors.
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Abstract
summaryCurrently available and frequently used tools for annotating antibiotic resistance genes (ARGs) in genomes and metagenomes provide results using inconsistent nomenclature. This makes the comparison of different ARG annotation outputs challenging. The comparability of ARG annotation outputs can be improved by mapping gene names and their categories to a common controlled vocabulary such as the Antibiotic Resistance Ontology (ARO). We developed argNorm, a command line tool and Python library, to normalize all detected genes across six ARG annotation tools (eight databases) to the ARO. argNorm also adds information to the outputs using the same ARG categorization so that they are comparable across tools. AVAILABILITY AND IMPLEMENTATION: argNorm is available as an open-source tool at: https://github.com/BigDataBiology/argNorm. It can also be downloaded as a PyPI package and is available on Bioconda and as an nf-core module.
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